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Program (Detailed one is accessible via this link)
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08:00 - 08:10
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Welcome & Introduction
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08:10 - 08:40
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Amr Alanwa, Assistant Professor, Technical University of Munich (TUM), Germany
Title: Data-Driven Safety Verification Using Reachability Analysis
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08:40 - 09:00
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Zhongqiang Ren, Assistant Professor, Shanghai Jiao Tong University, China
Title: Multi-Objective Path Planning for Safe Navigation
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09h:00 - 09:30
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Lounis Adouane, Full Professor, Université de Technologie de Compiègne, France
Title: Resilient and Trustable Control Architecture for Autonomous Navigation in Complex Environments/Situations
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09h:30 - 10:00
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Argyrios Zolotas, Full Professor, Cranfield University, United Kingdom
Title: On control engineering, reliability and smart infrastructure enabling safer autonomous vehicle operation
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10h:00 - 10:30
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Coffee Break
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10:30 - 11:00
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Umar Zakir Abdul Hamid, PhD, Head of Global Product, International Business and Market Entry Strategy, PROTON - Part of GEELY Group), Malaysia
Title: Bridging R&D and Market Needs: Identifying Key Commercializable Gaps for Safer Autonomous and Software-Defined Electric Vehicles
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11:00 - 11:20
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Jiyeon Bae, Researcher, Mobility Platform Research Center, Korea Electronics Technology Institute (KETI), Republic of Korea
Title: Navigating Continuous Space: ODD Exit Monitoring in Urban Environments
Jiyeon Bae, Kyungwon Min, Haengseon Son, Youngbo Shim
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11:20 - 12:00
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Open-ended discussion & Closing Remarks
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Short Description:
Automated driving systems have become one of the most exciting and important innovations in the transportation history. Indeed, the challenge to have fully autonomous vehicles for passengers’ transportation is about to become a reality. Nevertheless, the diversity of driving conditions and situations to be encountered may lead to unexpected events, which may be hazardous. The efficiency of autonomous vehicles is then subject to the capability of managing risks, while preserving the vehicles’ integrity, with respect to several aspects, such as: vehicle dynamics variations, reliability of sensor/perception information and variation of driving and environmental conditions. The proposed workshop will permit to discuss how to ensure a Long-Term Autonomy[1] of I/AV while maintaining a high level of safety during the navigation process. Moreover, the workshop is expected to initiate interesting discussions about a possible generic design methodology closing a link between systemic approaches and AI developments in order to efficiently and safely address I/AV navigation in complex environments/situations.
The workshop aims at presentation of the cutting-edge research topics, new original theoretical achievements, practical results and high-fidelity simulations protocols, with a focus on guaranteed safety and flexibility of maneuvering with I/AV in various transportation domains, and using different research methodologies: the formal and machine learning ones. Submissions illustrating combinations of these two general methodologies leading to synergetic results are in a special interest of the workshop.
[1]It is important to note that LTA means in the proposed project, that the vehicle can deal with a large variety of driving situations (e.g., navigation in dense urban traffic, round-about/intersection or unstructured area) and environment conditions (e.g., wet ground, fog conditions), without obliging the vehicle to stop or to delegate the driving to the person inside.
Keywords: Intelligent/autonomous vehicles, safe maneuvering, safety guarantees, control architecture, motion algorithmization for safety and flexibility, risk assessment and management, long-term autonomy, safe connected and cooperative vehicles, model-based approaches, data-driven approaches, safety in ADAS.
More details on the workshop details, motivations, main topics of interest and global organization are given though this link:
https://shorturl.at/Bl3kR
Format of the papers / contributions (authors and keynote speakers)
Papers should be prepared according to the IROS’24 final camera-ready format and should be 4 to 6 pages long. The detailed information on the paper format is available through : https://iros2024-abudhabi.org/cf-contribution
For possible keynote speakers’ proposals, a short biography, a title and an abstract are requested before September 1st.
Papers and keynote speakers’ proposals must be sent to Lounis ADOUANE by email at:
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Importantes dates
- Deadline for paper submission and keynote speakers’ proposals: September 1st, 2024
- Notification of paper acceptance (with review comments): September 14th, 2024
- Final paper submission: October 1st, 2024
- Workshop date: October 15th, 2024 (8h00-12h00)
Talk information
- Invited talk: 30 min (24 min talk, 6 min questions)
- Other talk: 20 min (16 min talk, 4 min questions)
Proceedings and Special issue
The workshop proceedings will be published as a pdf file within the SIAV-FM2L workshop website.
Selected papers will be considered for extended version for a special issue in International journals such as Journal of Intelligent & Robotic Systems (JINT, IF : 3.1) or Transactions on Intelligent Vehicles Transactions on Intelligent Vehicles (T-IV, IF : 14). We will issue an open call, submissions will go through a separate peer review process.
IEEE-RAS TC on ITS
This workshop is organized in the framework of the IEEE Robotics and Automation’s Technical Committee on: Autonomous Ground Vehicles and Intelligent Transportation Systems.
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Workshop organizers:
Lounis Adouane, Professor, Université de technologie de Compiègne, CNRS, Heudiasyc, Compiègne, France.
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http://lounisadouane.online.fr
Philippe Martinet, Directeur de recherche, Centre INRIA d’Université Côte d’Azur, ACENTAURI Team, Sophia-Antipolis, France.
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https://team.inria.fr/acentauri/philippe-martinet/
Johannes Betz, Professorship Autonomous Vehicle Systems, Technical University of Munich, Germany
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https://www.mos.ed.tum.de/en/avs/team/prof-dr-ing-johannes-betz/
Xuebo Zhang, Professor, Institute of Robotics and Automatic Information Systems (IRAIS), College of Artificial Intelligence (CAI), Nankai University, Tianjin, 300350, China
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https://aien.nankai.edu.cn/2021/1108/c27372a419931/page.htm
Argyrios Zolotas, Professor, Centre for Autonomous and Cyberphysical Systems, Cranfield University, Shrivenham, Swindon, SN6 8LA, United Kingdom
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https://www.cranfield.ac.uk/people/professor-argyrios-zolotas-22645606
Antonios Tsourdos, Professor, Centre for Autonomous and Cyberphysical Systems, Cranfield University, Shrivenham, Swindon, SN6 8LA, United Kingdom
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https://www.cranfield.ac.uk/people/professor-antonios-tsourdos-746615
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